A Context-Aware Conversational Agent in the Rehabilitation Domain

被引:10
|
作者
Mavropoulos, Thanassis [1 ]
Meditskos, Georgios [1 ]
Symeonidis, Spyridon [1 ]
Kamateri, Eleni [1 ]
Rousi, Maria [1 ]
Tzimikas, Dimitris [2 ]
Papageorgiou, Lefteris [2 ]
Eleftheriadis, Christos [3 ]
Adamopoulos, George [4 ]
Vrochidis, Stefanos [1 ]
Kompatsiaris, Ioannis [1 ]
机构
[1] Ctr Res & Technol Hellas, Thessaloniki 57001, Greece
[2] Entranet Ltd, Thessaloniki 54249, Greece
[3] ELBIS PC, Thessaloniki 57001, Greece
[4] Evexia SA, Thessaloniki 63080, Greece
来源
FUTURE INTERNET | 2019年 / 11卷 / 11期
关键词
wireless sensor networks; ontology-based dialogue management; semantic disambiguation; natural language processing; virtual assistant; OF-THE-ART; FALL DETECTION; LANGUAGE; SYSTEM;
D O I
10.3390/fi11110231
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Conversational agents are reshaping our communication environment and have the potential to inform and persuade in new and effective ways. In this paper, we present the underlying technologies and the theoretical background behind a health-care platform dedicated to supporting medical stuff and individuals with movement disabilities and to providing advanced monitoring functionalities in hospital and home surroundings. The framework implements an intelligent combination of two research areas: (1) sensor- and camera-based monitoring to collect, analyse, and interpret people behaviour and (2) natural machine-human interaction through an apprehensive virtual assistant benefiting ailing patients. In addition, the framework serves as an important assistant to caregivers and clinical experts to obtain information about the patients in an intuitive manner. The proposed approach capitalises on latest breakthroughs in computer vision, sensor management, speech recognition, natural language processing, knowledge representation, dialogue management, semantic reasoning, and speech synthesis, combining medical expertise and patient history.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models
    Tian, Zhiliang
    Yan, Rui
    Mou, Lili
    Song, Yiping
    Feng, Yansong
    Zhao, Dongyan
    PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 2, 2017, : 231 - 236
  • [32] Integration of context-aware conversational interfaces to develop practical applications for mobile devices
    Griol, David
    Manuel Molina, Jose
    Sanchis, Araceli
    JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2017, 9 (05) : 561 - 577
  • [33] Context-Aware Conversational Agents Using POMDPs and Agenda-Based Simulation
    Griol, David
    Molina, Jose M.
    USER-CENTRIC TECHNOLOGIES AND APPLICATIONS, 2011, 94 : 29 - 36
  • [34] Context-Aware Conversational Recommendation of Trigger-Action Rules in IoT Programming
    Zhao, Mingxin
    Wu, Qinyue
    Ma, Enze
    Shen, Beijun
    Chen, Yuting
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2021, 31 (10) : 1517 - 1538
  • [35] A Context-Aware Approach for Improving Dialog Act Detection in a Multilingual Conversational Platform
    Hai-Yen Vu
    Phuong Le-Hong
    COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2023, 2023, 14162 : 231 - 242
  • [36] Curious Cat-Mobile, Context-Aware Conversational Crowdsourcing Knowledge Acquisition
    Bradesko, Luka
    Witbrock, Michael
    Starc, Janez
    Herga, Zala
    Grobelnik, Marko
    Mladenic, Dunja
    ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2017, 35 (04)
  • [37] Using BiLSTM Networks for Context-Aware Deep Sensitivity Labelling on Conversational Data
    Pogiatzis, Antreas
    Samakovitis, Georgios
    APPLIED SCIENCES-BASEL, 2020, 10 (24): : 1 - 17
  • [38] Study of Service Processing Agent for Context-Aware Service Coordination
    Yamato, Yoji
    Ohnishi, Hiroyuki
    Sunaga, Hiroshi
    2008 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING, PROCEEDINGS, VOL 1, 2008, : 275 - 282
  • [39] Multi-agent based context-aware assembly model
    Song C.
    Liu H.
    Liu, Huiyi (hyliu@hhu.edu.cn), 2016, CIMS (22): : 1205 - 1210
  • [40] ContextMate: a context-aware smart agent for efficient data analysis
    Jadoon, Aamir Khan
    Yu, Chun
    Shi, Yuanchun
    CCF TRANSACTIONS ON PERVASIVE COMPUTING AND INTERACTION, 2024, 6 (03) : 199 - 227